CPMR: context-aware incremental sequential recommendation with pseudo-multi-task learning

CPMR: context-aware incremental sequential recommendation with pseudo-multi-task learning

The motivations of users to make interactions can be divided into static preference and dynamic interest. To accurately model user representations over time, recent studies in sequential recommendation utilize information propagation and evolution to mine from batches of arriving interactions. Howev...

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Bibliographic Details
Main Authors: Bian, Qingtian, Xu, Jiaxing, Fang, Hui, Ke, Yiping
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Recommender Systems
Incremental Recommendation
Context-Aware Recommendation
Graph Neural Networks
Pseudo-Multi-Task Learning
Online Access:https://hdl.handle.net/10356/170988

Internet

https://hdl.handle.net/10356/170988

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